Gridly Automation provides you with the ability to multi-translate with leading machine translation solutions provided by companies like Google and Amazon, along with the ability to set up a fully automated multi-language pre-translation workflow. This can help you save time, money and increase the productivity of your localization team. 

When creating an Automation with the “Amazon Text Translate”/ “Amazon Loc Translate" action, the strings in the language column you selected will be translated to the desired target language whenever the Automation runs successfully. There are also the options to mask commonly understood profane terms and prevent them from appearing in your translations.

If you are not familiar with creating an Automation, please view the following article: Creating an Automation.

Setup 

After creating the Automation, you need to configure the trigger and action. In this example, we’ll create an Automation that translates the source strings (English) to French, Italian and German when a record in the source language column (English) is edited.

Add “Record updated” trigger 

1. Click Add Trigger, then select “Record updated” from the dropdown list.
2. In the “Watching columns” section, select the Source language column (Source_enUS).

For localization columns: Add “Amazon Loc Translate” action

With Amazon Loc Translate, you can translate all target languages in one step. You can create one action and Gridly will automatically translate the source language to all selected target languages. 

1. Click Add Step and select Amazon Loc Translate from the list of actions.
2. Fill in the required fields: 
   • Select source language.
   • Select target languages to translate. Only targets with dependencies on Source languages will be listed.
   • Amazon translation options are checked by default, click to uncheck if necessary.
     • Use Profanity masking when available: mask commonly understood profane terms and phrases with a grawlix string “?$#@$”.
     • Use Formal Language when available: controls the level of formal language usage (also known as honorifics or register) in the translation output.
   • (Optional) Check the box to only translate when the cell is empty.

For text-based columns: Add “Amazon Text Translate” action

With Amazon Text Translate, you can apply Amazon Translate on available text-based columns in Gridly. You can apply Google Translate to translate from a source language to a target language, and duplicate the action if you want to translate to other languages.

1. Click Add Step and select Amazon Text Translate from the list of actions
2. Fill in the required fields: 
   • Select original language of the text: Select the text source language 
   • Select language to translate to: Select the target language that matches with the target language column.
   • Select Output column to hold the result: select the target language column in your Grid
   • Amazon translation options are checked by default, click to uncheck if necessary.
     • Use Profanity masking when available: mask commonly understood profane terms and phrases with a grawlix string “?$#@$”.
     • Use Formal Language when available: controls the level of formal language usage (also known as honorifics or register) in the translation output.

If you want to add another target column to be translated into using Amazon Text Translate: 

1. Click  next to the action, and select Duplicate action from the list. 
2. Change the input value to another language in the Select language to translate to and Select Output column to hold the result fields.

Test Automation

1. Switch the toggle on to turn on the Automation.
2. Click Test Automation. If your Automation is not turned on, Gridly will require that you turn on the Automation in the resulting pop-up message. Click on the toggle to turn on and select Test again.

Invoke records to apply the Automation to existing records

If you want to run the Automations on all records without firing the Trigger, select Invoke ALL records.

 
To view all the articles related to Automations, click here.